Mar 14, 2021 · The proposed SP2F framework has two main engines, a two-level privacy engine, and a deep learning-based anomaly detection engine.
A secure and privacy-preserving framework for IoT-enabled SG environment that outperforms several current state-of-the-art solutions in terms of security ...
Their work also includes an intrusion detection system to safeguard against unauthorized data access, ensuring that data integrity is maintained within ...
TL;DR: A Secured Privacy-Preserving Framework for smart agricultural UAVs is proposed and it is identified that the SP2F framework outperforms several ...
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles. R Kumar, P Kumar, R Tripathi, GP Gupta, TR Gadekallu, G ...
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles. Comput. Netw. 2021;187:107819. doi: 10.1016/j.comnet ...
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles. R Kumar, P Kumar, R Tripathi, GP Gupta, TR Gadekallu, G Srivastava.
Srivastava, “SP2F: A secured privacy-preserving framework for smart agricultural unmanned aerial vehicles,” Comput. Netw., vol. 187, 2021, Art. no. 107819 ...
Sep 9, 2024 · This study addresses the need for privacy-preserving frameworks that enables secure data sharing for digital agriculture practices. We propose a ...
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Nov 27, 2023 · Kumar et al. [41] proposed a Secured Privacy-Preserving Framework (SP2F) for smart agricultural Unmanned Aerial Vehicles (UAVs), which handles.